---
title: Vajra ISA
emoji: 🌖
colorFrom: indigo
colorTo: yellow
sdk: gradio
sdk_version: 6.20.0
python_version: '3.12'
app_file: app.py
pinned: false
license: mit
short_description: 'Vajra-ISA (वज्र-ISA) उद्दिष्ट: वैदिक त्रिगुण (तम-रज-सत्व) '
---
# Vajra-ISA (वज्र-ISA)

Vedic-inspired Virtual Machine for Neuro-Symbolic AI and Interpretable AI.

## Overview

Vajra-ISA is a Turing-complete, FP32-based virtual machine inspired by the Vedic tri-guṇa (तम-रज-सत्व) framework. It serves as a low-level language for:

- **Neuro-Symbolic AI**: Write interpretable neural programs
- **Indic Knowledge Systems**: Load Vedic concepts as data
- **Interpretable AI**: Every instruction maps to natural language explanation

## Architecture

### Register File (त्रिगुण Model)

| Register | गुण   | Role                          |
|----------|--------|-------------------------------|
| R0       | तम     | Accumulator / Activation      |
| R1       | रज     | Operand / Gradient            |
| R2       | सत्व   | Flag / Decision gate          |
| R3       | गति    | Program Counter               |
| R4       | स्मृती | Stack Pointer                 |

### Instruction Set

32-bit format: `[8-bit Opcode | 24-bit Operand]`

Key instructions:
- **Data**: `तम`, `स्थिर`, `कर्म`
- **ALU**: `रज_जो`, `रज_वि`, `रज_गु`, `योग`
- **Control**: `सत्व`, `माया`, `गति`, `काल`
- **AI Core**: `ध्यान` (soft normalization)
- **System**: `ब्रह्म` (halt)

## Usage

### Online (Hugging Face Space)

Visit: [Your Space URL]

### Local

```bash
pip install -r requirements.txt
python app.py
```

### Example Program

```vajra
; Simple loop: sum 1 to 5
    तम 0          ; R0 = 0 (accumulator)
    तम 5          ; R0 = 5 (counter)
गति_लूप:
    रज_जो         ; R0 = R0 + R1
    काल गति_लूप   ; R0-- ; if R0>0 goto गति_लूप
    ब्रह्म
```

## Hugging Face Integration

Load Vedic concepts from datasets:

```vajra
%load_geometry "पुष्पक_विमान"

    स्थिर पुष्पक_विमान_satva
    ; R0 = satva value from dataset
```

Dataset: `kalpesh77/vedic-neural-geometry`

## Development Status

- ✅ Virtual Machine (CPU)
- ✅ Assembler (Lexer + Parser)
- ✅ Linker (HF Dataset integration)
- ✅ Gradio UI
- 🔜 Compiler (Vajra → PyTorch graphs)
- 🔜 More AI instructions

## License

MIT

## Author

Kalpesh